Rough set theory for the incomplete interval valued fuzzy information systems

Authors:
Zengtai Gong;Lei Tao
Affiliations:
College of Mathematics and Statistics, Northwest Normal University, Lanzhou, P.R. China;Pingliang City Central Subbranch of the People's Bank of China, Pingliang, P.R. China
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2014

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Abstract

Considering the incompleteness and uncertainty of information systems, this paper combines the incomplete information systems with interval-valued fuzzy sets, and defines the incomplete interval-valued fuzzy information systems. The basic rough set theory for incomplete interval-valued fuzzy information systems is also discussed in this paper.